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Have a pipeline notebook - T2-Analysis-Pipeline.ipynb #6

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tallamjr opened this issue Sep 17, 2020 · 1 comment · Fixed by #15
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Have a pipeline notebook - T2-Analysis-Pipeline.ipynb #6

tallamjr opened this issue Sep 17, 2020 · 1 comment · Fixed by #15
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2 - continuous integration All things relating to CI and automation 2 - enhancement A request or update to existing functionality

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@tallamjr
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It would be desirable to have a pipeline notebook that can be run in conjunction with CI checks (related to #4 ) where the results can be crossed checked.

This would also be useful to demonstrate how the pipeline is run for other and to ensure reproducibility.
@tallamjr tallamjr added 2 - enhancement A request or update to existing functionality 2 - continuous integration All things relating to CI and automation labels Sep 17, 2020
@tallamjr tallamjr self-assigned this Sep 17, 2020
@tallamjr
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  1. Run hyperparameter optimisation with opt/hypertraining.py and save study.pkl in opt/runs/

  2. Load best study using (and do visuals of study) using train.py

  3. Save best performing model into models/

  4. Load best performing model using evaluate.py

  5. Print results and plot confusion matrix using visuals.py

  • Have with small epochs for PoC of working notebook and pipeline

@tallamjr tallamjr mentioned this issue Oct 2, 2020
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tallamjr added a commit that referenced this issue Oct 2, 2020
@tallamjr
Merge pull request #15 from /issues/6/pipeline-notebook
e30b3da 
Issues/6/pipeline notebook

Beginnings of a pipeline notebook.

This steps through each stage of the pipeline.

Needs updating and work but the main sections are in place.

Closes #6
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Issues/6/pipeline notebook tallamjr/astronet
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